Security and Access Controls Assessment for AI Solutions

Assessment Focus

Discovery of AI Use Cases

• Identify AI applications (customer-facing systems, internal tools, AI models).
• Assess current architecture and integration with third-party systems, SaaS solutions and Cloud Platforms.

Current Auth Solution Review

• Evaluate authentication patterns, permission models, and IAM maturity.
• Review both internal and customer-facing IDP solutions and their compatibility for AI workflows.

Data Storage and Governance Evaluation

• Evaluate the granular access management capabilities in the current data model.
• Assess data labelling, DLP policies, and access controls.
• High-level evaluation against the industry-specific compliance standards.

Auth Considerations for Agentic AI

• Customer-facing and internal agents.
• Client Initiated Backchannel Authentication (CIBA) and Step-up considerations.
• Token management best practices for AI - mitigate risks like token misuse and/or unauthorised access.

Through a combination of interactive workshops, targeted questionnaires, and in-depth technical reviews, we evaluate your AI solution ambitions against the readiness of your existing IAM system.

Kick off

• Launch the assessment with a tailored kickoff meeting to align objectives and scope.

Initial Questionnaire

• Gather insights via a comprehensive questionnaire on strategy, infrastructure, and identity posture.

Technical Deep Dive

• Conduct in-depth evaluations of prioritized AI use cases, covering security protocols, application architecture, cloud infrastructure, and AI integration patterns.(Delivered through interactive 1- to 2-hour focus group workshops with cross-functional teams.)

Findings Report and Delivery

• Deliver the final report with maturity assessment, gap analysis, and actionable recommendations.